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Research Areas
Year Published

492 Results

June 22, 2015

Fast Convolutional Nets With fbfft: A GPU Performance Evaluation

International Conference on Learning Representations, 2015

We examine the performance profile of Convolutional Neural Network training on the current generation of NVIDIA Graphics Processing Units.

By: Nicolas Vasilache, Jeff Johnson, Michael Mathieu, Soumith Chintala, Serkan Piantino, Yann LeCun
June 22, 2015

Inferring Algorithmic Patterns with Stack-Augmented Recurrent Nets

ArXiv PrePrint

We develop a model that overcomes certain basic limitations of popular deep learning models. We demonstrate its capabilities by learning in an unsupervised way concepts such as simple memorization and binary addition.

By: Armand Joulin, Tomas Mikolov
June 22, 2015

A Theoretical Argument for Complex-Valued Convolutional Networks

ArXiv PrePrint

This article provides foundations for certain convolutional networks.

By: Joan Bruna, Soumith Chintala, Yann LeCun, Serkan Piantino, Arthur Szlam, Mark Tygert
June 22, 2015

End-To-End Memory Networks

NIPS 2015

End-to-end training of Memory Networks on question answering and to language modeling

By: Sainbayar Sukhbaatar, Arthur Szlam, Jason Weston, Rob Fergus
June 22, 2015

Learning Longer Memory in Recurrent Neural Networks

Workshop at ICLR 2015

We describe simple extension of recurrent networks that allows them to learn longer term memory. Usefulness is demonstrated in improved performance on standard language modeling tasks.

By: Tomas Mikolov, Armand Joulin, Sumit Chopra, Michael Mathieu, Marc'Aurelio Ranzato
June 22, 2015

Large-Scale Simple Question Answering with Memory Networks

ArXiv PrePrint

This paper studies the impact of multitask and transfer learning for simple question answering; a setting for which the reasoning required to answer is quite easy, as long as one can retrieve the correct evidence given a question, which can be difficult in large-scale conditions.

By: Antoine Bordes, Nicolas Usunier, Sumit Chopra, Jason Weston
June 22, 2015

Revisiting Memory Errors in Large-Scale Production Data Centers: Analysis and Modeling of New Trends from the Field

IEEE/IFIP International Conference on Dependable Systems and Networks

In this paper, we analyze the memory errors in the entire fleet of servers at Facebook over the course of fourteen months, representing billions of device days.

By: Justin Meza, Qiang Wu, Sanjeev Kumar, Onur Mutlu
June 22, 2015

An Implementation of a Randomized Algorithm for Principal Component Analysis

ArXiv PrePrint

This paper carefully implements newly popular randomized algorithms for principal component analysis and benchmarks them against the classics.

By: Arthur Szlam, Mark Tygert, Yuval Kluger
June 15, 2015

A Large-Scale Study of Flash Memory Failures in the Field

ACM Sigmetrics 2015

This paper presents the first large-scale study of flash-based SSD reliability in the field.

By: Justin Meza, Qiang Wu, Sanjeev Kumar, Onur Mutlu
June 12, 2015

Web-Scale Training for Face Identification

The IEEE Conference on Computer Vision and Pattern Recognition

We study face recognition and show that three distinct properties have surprising effects on the transferability of deep convolutional networks (CNN)

By: Yaniv Taigman, Ming Yang, Marc'Aurelio Ranzato, Lior Wolf